Classification Rule Learning with APRIORI-C
نویسندگان
چکیده
Mining of association rules became one of the strongest elds of data mining This paper presents a classi cation rule learning algo rithm APRIORI C upgrading APRIORI to dealing with classi cation problems decreasing its memory consumption and time complexity fur ther decreasing its time complexity by feature subset selection and im proving the understandability of results by rule post processing This step also improved accuracy when dealing with unbalanced class distri butions The algorithm was applied to UCI domains as well as to the COIL challenge data
منابع مشابه
01. Mohd Farhana
This paper presents a comparative study of two data mining techniques; apriori A C and rough classifier R c . Apriori is a technique for mining association rules while rough set is one of the leading data mining techniques for classification. For the classification purpose, the apriori algorithm was modified in order to play its role as a classifier. The new apriori called A C is obtained throu...
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